由 OMI 和 AERONET 观测数据驱动的黑碳日质量和数柱密度自上而下的新估算值

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Jian Liu , Jason Blake Cohen , Pravash Tiwari , Zhewen Liu , Steve Hung-Lam Yim , Pawan Gupta , Kai Qin
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引用次数: 0

摘要

这项工作利用地表遥感(AERONET)和卫星遥感(OMI)的混合观测数据,在南亚、东南亚和东亚快速发展和受生物质燃烧(BB)影响的地区,以 0.25°x0.25°逐格逐日为基础,独特地计算了大气中黑碳(BC)的质量浓度密度(MCD)和数量浓度密度(NCD)。根据 OMI NO2 检索、OMI 近紫外波段吸收气溶胶光学深度和单散射反照率(SSA)以及 AERONET 可见光和近红外波段 SSA 观测数据,结合反向应用 MIE 混合模式方法,对这种混合观测数据进行了统一分析。该方法根据每日二氧化氮方差最大化,唯一求解出无偏的空间和时间域。然后,利用这些空间和时间位置来量化所有可能的单个颗粒核心和耐火壳尺寸的分布,这些尺寸受到 AERONET 对 SSA 的所有逐波段观测的限制。最后,根据逐格和逐日的单个粒子内核和耐火壳尺寸的限制范围,计算出 NCD 和 MCD 的范围。MCD 和 NCD 图在空间和时间上与已知的城市、工业和 BB 源一致。统计分布是非正态分布,全区平均值、第 25、50 和 75 百分位数 MCD [mg/m2] 分别为 90.3、56.1、81.1 和 111,NCD [x1012 粒子/m2] 分别为 8.76、4.63、7.39 和 11.3。以网格为基础,特别是在缅甸、老挝、泰国北部和越南发现了大量的变化,该次区域的平均值、第 25、50 和 75 MCD [mg/m2] 分别为 90.7、56.1、81.3 和 112,NCD [x1012 颗粒物/m2] 分别为 9.66、5.49、8.33 和 12.3。按天计算,2016 年有 121 天确定了事件,在这 121 天中,MCD 和 NCD 的计算统计量的平均值和不确定性范围是相互缩放的。然而,有 11 天 NCD 值的不确定性比值大于 1,而 MCD 的不确定性比值较小,有 5 天的情况正好相反,这表明这些天的粒径非常不典型,与混合气溶胶源、气溶胶老化的实质性变化或其他此类因素(包括 BB 源和城市源之间的实质性重叠区域)相一致。与以前侧重于火辐射功率、二氧化氮和模型的工作相比,3 月至 5 月观测到的高数值导致 BB 季节延长,而以前的工作显示 BB 季节较短(通常在 4 月初结束)。结果表明,BC 能够进行远距离迁移。预计新方法将为改进辐射强迫计算、估算排放清单提供支持,并为模型与观测数据进行比较提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New top-down estimation of daily mass and number column density of black carbon driven by OMI and AERONET observations
This work uses a mixture of observations from surface remote sensing (AERONET) and satellite remote sensing (OMI) to uniquely compute the atmospheric column loading of black carbon (BC) mass concentration density (MCD) and number concentration density (NCD) on a grid-by-grid, day-by-day basis at 0.25°x0.25° over rapidly developing and biomass burning (BB) impacted regions in South, Southeast, and East Asia. This mixture of observations is uniformly analyzed based on OMI NO2 retrievals, OMI Near ultraviolet band absorption aerosol optical depth and single scattering albedo (SSA), and AERONET visible and near-infrared band SSA observations, in connection with an inversely applied MIE mixing model approach. This method uniquely solves for the unbiased spatial and temporal domains based on variance maximization of daily NO2. These locations in space and time are then used to quantify the distribution of all possible individual particle core and refractory shell sizes as constrained by all band-by-band observations of SSA from AERONET. Finally, the range of NCD and MCD are computed from the constrained range of per-particle core and refractory shell size on a grid-by-grid and day-by-day basis. The maps of MCD and NCD are consistent in space and time with known urban, industrial, and BB sources. The statistical distributions are found to be non-normal, with the region-wide mean, 25th, 50th, and 75th percentile MCD [mg/m2] of 90.3, 56.1, 81.1, and 111 respectively, and NCD [x1012 particles/m2] of 8.76, 4.63, 7.39, and 11.3 respectively. On a grid-by-grid basis, a significant amount of variation is found, particularly over Myanmar, Laos, northern Thailand, and Vietnam, with this subregional mean, 25th, 50th, and 75th MCD [mg/m2] of 90.7, 56.1, 81.3, and 112 respectively and NCD [x1012 particles/m2] of 9.66, 5.49, 8.33, and 12.3 respectively. On a day-to-day basis, events are determined 121 days in 2016, during which the computed statistics of MCD and NCD have mean and uncertainty ranges which scale with each other. However, there are 11 days where the uncertainty ratio of NCD values is larger than 1 while the uncertainty ratio of MCD is small, and 5 days where the reverse is observed, indicating that the particle size is strongly atypical on these days, consistent with mixed aerosol sources, a substantial change in the aerosol aging, or other such factors including a substantial region of overlap between BB and urban sources. The high values observed from March to May lead to an extended BB season as compared to previous work focusing on fire radiative power, NO2, and models, which show a shorter season (usually ending in early April). The results are consistent with BC being able to transport significant distances. The new approach is anticipated to provide support for improving radiative forcing calculations, estimating emissions inventories, and providing a basis by which models can compare against observations.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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